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You searched for subject:(weather radar network). Showing records 1 – 6 of 6 total matches.

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1. Hopf, Anthony P. Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems.

Degree: PhD, Electrical and Computer Engineering, 2011, U of Massachusetts : PhD

  Complex engineered systems evolve, with a tendency toward self-organization, which can, paradoxically, frustrate the aims of those seeking to develop them. The systems engineer,… (more)

Subjects/Keywords: decision problem; information oriented; Informativeness; radar network; sensor systems; weather radar; Electrical and Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hopf, A. P. (2011). Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/367

Chicago Manual of Style (16th Edition):

Hopf, Anthony P. “Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems.” 2011. Doctoral Dissertation, U of Massachusetts : PhD. Accessed March 08, 2021. https://scholarworks.umass.edu/open_access_dissertations/367.

MLA Handbook (7th Edition):

Hopf, Anthony P. “Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems.” 2011. Web. 08 Mar 2021.

Vancouver:

Hopf AP. Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2011. [cited 2021 Mar 08]. Available from: https://scholarworks.umass.edu/open_access_dissertations/367.

Council of Science Editors:

Hopf AP. Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems. [Doctoral Dissertation]. U of Massachusetts : PhD; 2011. Available from: https://scholarworks.umass.edu/open_access_dissertations/367

2. Rocha Filho, Kleber Lopes da. Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico.

Degree: Mestrado, Meteorologia, 2010, University of São Paulo

A Bacia do Alto Tiete abriga cerca de 50% dos habitantes do Estado de São Paulo e é afetada freqüentemente por eventos de inundações. Uma… (more)

Subjects/Keywords: Hydrologic Modeling; Modelagem Hidrológica; Radar meteorológico; Raingauge Network.; Redes de Superfície; TOPMODEL; TOPMODEL; Weather Radar

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APA (6th Edition):

Rocha Filho, K. L. d. (2010). Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/14/14133/tde-21062013-124917/ ;

Chicago Manual of Style (16th Edition):

Rocha Filho, Kleber Lopes da. “Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico.” 2010. Masters Thesis, University of São Paulo. Accessed March 08, 2021. http://www.teses.usp.br/teses/disponiveis/14/14133/tde-21062013-124917/ ;.

MLA Handbook (7th Edition):

Rocha Filho, Kleber Lopes da. “Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico.” 2010. Web. 08 Mar 2021.

Vancouver:

Rocha Filho KLd. Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico. [Internet] [Masters thesis]. University of São Paulo; 2010. [cited 2021 Mar 08]. Available from: http://www.teses.usp.br/teses/disponiveis/14/14133/tde-21062013-124917/ ;.

Council of Science Editors:

Rocha Filho KLd. Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico. [Masters Thesis]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/14/14133/tde-21062013-124917/ ;


Colorado State University

3. Chen, Haonan. Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion.

Degree: PhD, Electrical and Computer Engineering, 2017, Colorado State University

 Rainfall estimation based on satellite measurements has proven to be very useful for various applications. A number of precipitation products at multiple time and space… (more)

Subjects/Keywords: machine learning; remote sensing; weather radar network; quantitative precipitation estimation (QPE); dual-polarization radar; satellite

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APA (6th Edition):

Chen, H. (2017). Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/185786

Chicago Manual of Style (16th Edition):

Chen, Haonan. “Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion.” 2017. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/185786.

MLA Handbook (7th Edition):

Chen, Haonan. “Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion.” 2017. Web. 08 Mar 2021.

Vancouver:

Chen H. Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/185786.

Council of Science Editors:

Chen H. Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/185786


York University

4. Taylor, Brandon Mason. Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow.

Degree: MSc -MS, Earth & Space Science, 2018, York University

 The Canadian Weather Radar Network is currently undergoing an upgrade to po- larimetric, S-Band radar systems. Forecasting experiences in Canada with the legacy C-Band radars… (more)

Subjects/Keywords: Meteorology; Weather Radar; NEXRAD; Canadian Weather Radar Network; Environment and Climate Change Canada; Snow; Lake-Effect Snow; Snow Squall; Lake Ontario; Objective Analysis; Open Source Software; S-Band; C-Band

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Taylor, B. M. (2018). Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/35034

Chicago Manual of Style (16th Edition):

Taylor, Brandon Mason. “Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow.” 2018. Masters Thesis, York University. Accessed March 08, 2021. http://hdl.handle.net/10315/35034.

MLA Handbook (7th Edition):

Taylor, Brandon Mason. “Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow.” 2018. Web. 08 Mar 2021.

Vancouver:

Taylor BM. Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow. [Internet] [Masters thesis]. York University; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10315/35034.

Council of Science Editors:

Taylor BM. Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow. [Masters Thesis]. York University; 2018. Available from: http://hdl.handle.net/10315/35034


Brno University of Technology

5. Putna, Lukáš. Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar.

Degree: 2018, Brno University of Technology

 This work deals with the concept and implementation of short term rain prediction system using meteo-radar. Some basic methods are mentioned and then artificial neural… (more)

Subjects/Keywords: Predikce deště; krátkodobá předpověď počasí; umělá neuronová síť; meteorologický radar; zpracování obrazu; trénování neuronových sítí.; Rain prediction; short term weather prediction; artificial neural network; meteorological radar; image processing; neural network training.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Putna, L. (2018). Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54491

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Putna, Lukáš. “Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar.” 2018. Thesis, Brno University of Technology. Accessed March 08, 2021. http://hdl.handle.net/11012/54491.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Putna, Lukáš. “Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar.” 2018. Web. 08 Mar 2021.

Vancouver:

Putna L. Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/11012/54491.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Putna L. Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/54491

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

6. Vlček, Michael. Predikce deště z meteoradaru: Prediction of Raining from Meteoradar.

Degree: 2019, Brno University of Technology

 This thesis deals with rain prediction using information from meteoradar images and some other relevant factors through the computational model of a neural network. It… (more)

Subjects/Keywords: Předpověď deště; počasí; meteoradar; radarové snímky; zpracování obrazu; neuron; umělé neuronové sítě; predikční model; dopředná neuronová síť se zpětným šířením chyby; učící algoritmy; Rain prediction; weather; meteoradar; radar images; image processing; neuron; artificial neural networks; prediction model; feed-forward backpropagation neural network; learning algorithms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vlček, M. (2019). Predikce deště z meteoradaru: Prediction of Raining from Meteoradar. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52365

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vlček, Michael. “Predikce deště z meteoradaru: Prediction of Raining from Meteoradar.” 2019. Thesis, Brno University of Technology. Accessed March 08, 2021. http://hdl.handle.net/11012/52365.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vlček, Michael. “Predikce deště z meteoradaru: Prediction of Raining from Meteoradar.” 2019. Web. 08 Mar 2021.

Vancouver:

Vlček M. Predikce deště z meteoradaru: Prediction of Raining from Meteoradar. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/11012/52365.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vlček M. Predikce deště z meteoradaru: Prediction of Raining from Meteoradar. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/52365

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.